FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2920816188> ?p ?o ?g. }

• W2920816188 abstract "Research in neural networks in the field of computer vision has achieved remarkable accuracy for point estimation. However, the uncertainty in the estimation is rarely addressed. Uncertainty quantification accompanied by point estimation can lead to a more informed decision, and even improve the prediction quality. In this work, we focus on uncertainty estimation in the domain of crowd counting. With increasing occurrences of heavily crowded events such as political rallies, protests, concerts, etc., automated crowd analysis is becoming an increasingly crucial task. The stakes can be very high in many of these real-world applications. We propose a scalable neural network framework with quantification of decomposed uncertainty using a bootstrap ensemble. We demonstrate that the proposed uncertainty quantification method provides additional insight to the crowd counting problem and is simple to implement. We also show that our proposed method exhibits the state of the art performances in many benchmark crowd counting datasets." @default.
• W2920816188 created "2019-03-22" @default.
• W2920816188 creator A5006205893 @default.
• W2920816188 creator A5037212510 @default.
• W2920816188 creator A5081874896 @default.
• W2920816188 date "2019-03-15" @default.
• W2920816188 modified "2023-09-27" @default.
• W2920816188 title "Crowd Counting with Decomposed Uncertainty" @default.
• W2920816188 cites W1003853626 @default.
• W2920816188 cites W1522301498 @default.
• W2920816188 cites W1560021816 @default.
• W2920816188 cites W1618905105 @default.
• W2920816188 cites W1686810756 @default.
• W2920816188 cites W1826234144 @default.
• W2920816188 cites W1909455558 @default.
• W2920816188 cites W1910776219 @default.
• W2920816188 cites W1976959044 @default.
• W2920816188 cites W1978232622 @default.
• W2920816188 cites W2031454541 @default.
• W2920816188 cites W2055825262 @default.
• W2920816188 cites W2058907003 @default.
• W2920816188 cites W2067707835 @default.
• W2920816188 cites W2072232009 @default.
• W2920816188 cites W2088929512 @default.
• W2920816188 cites W2095705004 @default.
• W2920816188 cites W2096349671 @default.
• W2920816188 cites W2108677974 @default.
• W2920816188 cites W2111051539 @default.
• W2920816188 cites W2120327182 @default.
• W2920816188 cites W2120815373 @default.
• W2920816188 cites W2123175289 @default.
• W2920816188 cites W2130751540 @default.
• W2920816188 cites W2145983039 @default.
• W2920816188 cites W2149991584 @default.
• W2920816188 cites W2155916750 @default.
• W2920816188 cites W2161969291 @default.
• W2920816188 cites W2194775991 @default.
• W2920816188 cites W2207893099 @default.
• W2920816188 cites W2302053044 @default.
• W2920816188 cites W2347064614 @default.
• W2920816188 cites W2463631526 @default.
• W2920816188 cites W2511730936 @default.
• W2920816188 cites W2514654788 @default.
• W2920816188 cites W2519281173 @default.
• W2920816188 cites W2520826941 @default.
• W2920816188 cites W2533284116 @default.
• W2920816188 cites W2541389513 @default.
• W2920816188 cites W2560481731 @default.
• W2920816188 cites W2604785935 @default.
• W2920816188 cites W2741077351 @default.
• W2920816188 cites W2798489385 @default.
• W2920816188 cites W2884960332 @default.
• W2920816188 cites W2895051362 @default.
• W2920816188 cites W2947102725 @default.
• W2920816188 cites W2949500778 @default.
• W2920816188 cites W2950471516 @default.
• W2920816188 cites W2950517871 @default.
• W2920816188 cites W2951266961 @default.
• W2920816188 cites W2952145882 @default.
• W2920816188 cites W2952632681 @default.
• W2920816188 cites W2952888378 @default.
• W2920816188 cites W2953106684 @default.
• W2920816188 cites W2962720716 @default.
• W2920816188 cites W2962854645 @default.
• W2920816188 cites W2963035940 @default.
• W2920816188 cites W2963081736 @default.
• W2920816188 cites W2963231953 @default.
• W2920816188 cites W2963238274 @default.
• W2920816188 cites W2963693541 @default.
• W2920816188 cites W2963881378 @default.
• W2920816188 cites W2963938771 @default.
• W2920816188 cites W2964059111 @default.
• W2920816188 cites W2964209782 @default.
• W2920816188 cites W2967069910 @default.
• W2920816188 cites W302823870 @default.
• W2920816188 cites W3097096317 @default.
• W2920816188 hasPublicationYear "2019" @default.
• W2920816188 type Work @default.
• W2920816188 sameAs 2920816188 @default.
• W2920816188 citedByCount "5" @default.
• W2920816188 countsByYear W29208161882019 @default.
• W2920816188 countsByYear W29208161882020 @default.
• W2920816188 countsByYear W29208161882021 @default.
• W2920816188 crossrefType "posted-content" @default.
• W2920816188 hasAuthorship W2920816188A5006205893 @default.
• W2920816188 hasAuthorship W2920816188A5037212510 @default.
• W2920816188 hasAuthorship W2920816188A5081874896 @default.
• W2920816188 hasConcept C105795698 @default.
• W2920816188 hasConcept C119857082 @default.
• W2920816188 hasConcept C120665830 @default.
• W2920816188 hasConcept C121332964 @default.
• W2920816188 hasConcept C124101348 @default.
• W2920816188 hasConcept C127413603 @default.
• W2920816188 hasConcept C13280743 @default.
• W2920816188 hasConcept C134306372 @default.
• W2920816188 hasConcept C154945302 @default.
• W2920816188 hasConcept C185798385 @default.
• W2920816188 hasConcept C192209626 @default.
• W2920816188 hasConcept C201995342 @default.
• W2920816188 hasConcept C202444582 @default.

• next